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About this class

Mutually reinforcing innovations in computing and engineering are catapulting advances in technological
production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT),
these advances come with tremendous opportunities for improvement in productivity, efficiency, and
human well-being. But as scandals increasingly demonstrate, these advances also introduce new and
serious risks of conflict and harm.

Technology professionals now face growing demands to identify and mitigate ethical risks to human rights
and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and
accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical
theory, public regulations, and industry best practices into concrete skills and guidelines needed for the
responsible development of digital products and services. By following the course’s practical, problems-
based approach, learners will become adept at applying theories, principles, frameworks, and techniques
in their own roles and organizations.

What you'll be able to do

Describe general concepts, theories, and challenges related to ethics and emerging technologies.
Identify ethical risks.
Practice ethical reasoning.
Identify and mitigate safety and security risks.
Identify and mitigate privacy risks.
Identify and mitigate fairness and bias risks.
Identify and mitigate transparency and explainability risks.
Identify and mitigate accountability risks.
Build an ethical organization.
Develop ethical systems in technology-focused organizations.

Course outline

Lesson 1: Introduction to Ethics of Emerging Technologies

Topic A: What’s at Stake
Topic B: Ethics and Why It Matters
Topic C: Ethical Decision-Making in Practice
Topic D: Causes of Ethical Failures

Lesson 2: Identifying Ethical Risks

Topic A: Ethical Reasons
Topic B: Stumbling Blocks for Ethical Reasoning
Topic C: Identify Ethical Risks in Product Development
Topic D: Tools for Identifying Ethical Risks
Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks

Lesson 3: Ethical Reasoning in Practice

Topic A: Ethical Theories
Topic B: Use Ethical Decision-Making Frameworks
Topic C: Select Options for Action
Topic D: Avoid Problems in Ethical Decision-Making

Lesson 4: Identifying and Mitigating Security Risks

Topic A: What Is Security?
Topic B: Identify Security Risks
Topic C: Security Tradeoffs
Topic D: Mitigate Security Risks

Lesson 5: Identifying and Mitigating Privacy Risks

Topic A: What Is Privacy?
Topic B: Identify Privacy Risks
Topic C: Privacy Tradeoffs
Topic D: Mitigate Privacy Risks

Lesson 6: Identifying and Mitigating Fairness and Bias Risks

Topic A: What Are Fairness and Bias?
Topic B: Identify Bias Risks
Topic C: Fairness Tradeoffs
Topic D: Mitigate Bias Risks

Lesson 7: Identifying and Mitigating Transparency and Explainability Risks

Topic A: What Are Transparency and Explainability?
Topic B: Identify Transparency and Explainability Risks
Topic C: Transparency and Explainability Tradeoffs
Topic D: Mitigate Transparency and Explainability Risks

Lesson 8: Identifying and Mitigating Accountability Risks

Topic A: What Is Accountability?
Topic B: Identify Accountability Risks
Topic C: Accountability Tradeoffs
Topic D: Mitigate Accountability Risks

Lesson 9: Building an Ethical Organization

Topic A: What Are Ethical Organizations?
Topic B: Organizational Purpose
Topic C: Ethics Awareness
Topic D: Develop Professional Ethics within Organizations

Lesson 10: Developing Ethical Systems in Technology-Focused Organizations

Topic A: Policy and Compliance
Topic B: Metrics and Monitoring
Topic C: Communication and Stakeholder Engagement
Topic D: Ethical Leadership

Before you attend

To ensure your success in this course, you should have a genuine interest in ensuring that emerging
technologies are ethical, trusted, and inclusive. It may also be helpful if you have an understanding of
concepts related to emerging technologies. Practical experience implementing data science, AI, and/or IoT
to solve business problems is encouraged but not required. You can obtain the appropriate knowledge of
emerging technologies concepts by attending any or all of the following courses:

IoTBIZTM (Exam IOZ-110)
DSBIZTM (Exam DSZ-110): Data Science for Business Professionals
AIBIZTM (Exam AIZ-110)
ETBIZ: Emerging Technology for the Business Professional (Exam ETZ-110)

Who this is for

This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET- 110: Certified Ethical Emerging Technologies.